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PDMS Unidirectional Antenna Array for Microwave Breast Screening

2022· article· en· W4308086691 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue2022 52nd European Microwave Conference (EuMC) · 2022
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsMcGill University
Fundersnot available
KeywordsAntenna (radio)Coplanar waveguideMicrowave imagingMicrowaveAntenna arrayAperture (computer memory)Breast tissueMaterials scienceComputer scienceElectronic engineeringOpticsAcousticsOptoelectronicsTelecommunicationsEngineeringPhysicsBreast cancerMedicine

Abstract

fetched live from OpenAlex

Microwave radar breast screening systems have been proposed as a safe, cost-efficient alternative to X-ray mammography. The hypothesis that underpins the operation of such systems relies on sensing the dielectric contrast between the malignant tumor and the healthy breast tissue. The vital element of the breast screening system is the sensing element, which transmits the microwave pulses into the breast tissue or collects the backscatter. In this paper, we propose an array of 16 coplanar waveguide (CPW) aperture-coupled patch antennas, aimed to operate in the 3–5 GHz range. The sensing element is designed to operate adjacent to the inhomogenous human breast tissue model. The planned fabrication of the antenna array on the flexible 5mm SYLGARD™ 184 silicone elastomer PDMS substrate will be followed with its integration with the transceiver circuitry. Simulations suggest that the near-field emissions from such antenna would effectively probe the lossy breast tissue, allowing for detection of the tumor via the back-scattered signals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.882
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.202
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it